Considering that uncertain dwell disturbances often occur at metro stations, researchers have proposed many methods for solving the train timetable rescheduling (TTR) problem.This paper proposes a Modified Genetic Algorithm-Gate Recurrent Unit (MGA-GRU) method, which is a real-time TTR method based on deep learning.The proposed method takes the Gat
Flatness Prediction of Cold Rolled Strip Based on Deep Neural Network with Improved Activation Function
With the improvement of industrial requirements for the quality of cold rolled strips, flatness has become one of the most important indicators for measuring the quality of cold rolled strips.In this paper, the strip production data of a 1250 mm tandem cold mill in a steel plant is modeled by an improved deep neural network (the Swivel Cabinet impr
Lessons from in vitro reconstitution analyses of plant microtubule-associated proteins
Plant microtubules, composed of tubulin GTPase, are irreplaceable cellular components that regulate the directions of cell expansion and cell division, chromosome segregation and cell plate formation.To accomplish these functions, plant cells organize microtubule structures by regulating microtubule dynamics.Each microtubule localizes to the proper